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This video tutorial from Cohere AI discusses word and sentence embeddings, crucial components of large language models. Language models aim to enable computers to understand and process human language, which consists of words, while computers operate with numbers. Word embeddings convert words into numerical representations, and sentence embeddings do the same for sentences, providing meaningful associations. This process is not manually done; instead, a neural network analyzes context, bringing words and sentences that appear together closer in the numerical space. Ultimately, this technique yields impressive results in language comprehension and processing.
